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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

AdminForth logo
AdminForth
✓ verifiedFree

Open-source, agent-first admin-panel framework for Vue3/Node.js with auth, plugins and AI features to build back-office panels fast.

2.1K visits/mo
OnSpace.AI logo
OnSpace.AI
✓ verifiedFreemium

No-code AI builder that turns prompts into full-stack iOS, Android and web apps with a managed backend and Stripe payments.

394K visits/mo54K saves
2.6K visits/mo
AI Query logo
AI Query
✓ verifiedPaid

Turns plain-English prompts into SQL and explains existing queries; handy for non-experts, though its scope is narrow.

167 visits/mo6.2K saves
Pricing

No public pricing

Free: $0 (500 daily / 2,000 monthly credits)
Pro: $25/mo (up to 7,500 credits/mo)

No public pricing

Pro: $10/mo (unlimited queries)
Pro: $100/yr (2 months free)
Core features
  • CRUD admin panel from a database URL
  • Vue3 components and Tailwind theming with dark mode
  • Auth plugins: OAuth2/SSO, TOTP/WebAuthn 2FA
  • Audit log, S3 upload and CSV import/export plugins
  • AI plugins for autocomplete, translation and bulk data
  • Custom pages, dashboards and background jobs
  • AI app builder for iOS, Android and web
  • Managed backend via Supabase (DB, auth, storage)
  • Built-in Stripe payment integration
  • Agent mode with usage-based pricing
  • Mobile creator app for building on the go
  • GitHub export and code editor
  • Natural language to SQL conversion
  • English-to-SQL generation
  • SQL-to-English explanation
  • Schema definition dashboard
  • Support for multiple database engines
  • Save, share and query history
Use cases
  • Developers building internal back-office tools
  • Adding an admin panel to an existing database
  • Creating AI/agent-assisted back-office workflows
  • Self-hosting a customizable admin UI
  • Building an MVP without coding
  • Launching mobile apps quickly
  • Prototyping app ideas
  • Adding payments to a no-code app
  • Generating SQL queries from text descriptions.
  • Writing SQL without deep expertise
  • Understanding complex queries
  • Speeding up routine database work
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